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Journals / Cumhuriyet Üniversitesi İktisadi ve İdari Bilimler Dergisi / 2012 / Cilt: 13 - Sayı: 2

Current Social-Based Heuristic Optimization Algorithms

Bilal ALATAŞ
Soner KIZILOLUK
Pages
39–56
Publication Date
2022-10-11
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In this study, how the imperialist competitive algorithms and parliamentary optimization algorithms which are social-based algorithms are modeled and how parliamentary optimization algorithm is implemented on the problems have been mentioned.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Optimization is the process of making something better.
📊
Key Findings & Data:For example, in an f(x) function in optimization, it is asked for finding x values which make the values of the result minimum.
💡
Conclusion & Impact:In this study, how the imperialist competitive algorithms and parliamentary optimization algorithms which are social-based algorithms are modeled and how parliamentary optimization algorithm is implemented on the problems have been mentioned.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Optimization is the process of making something better. For example, in an f(x) function in optimization, it is asked for finding x values which make the values of the result minimum. Different methods have been proposed for solving optimization problems. Some of these processes have been inspired by natural processes. Ant colony optimization algorithm can be given as an example. Some of the other methods have been inspired by social events. Although the number of social based methods is limited, the most known one is tabu search algorithm. Recently, researchers have developed teaching-learning based algorithm, imperialist competitive algorithm, and parliamentary optimization algorithm. In this study, how the imperialist competitive algorithms and parliamentary optimization algorithms which are social-based algorithms are modeled and how parliamentary optimization algorithm is implemented on the problems have been mentioned.

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Cite This Article

ALATAŞ, B., KIZILOLUK, S. (2022). Current Social-Based Heuristic Optimization Algorithms. Cumhuriyet Üniversitesi İktisadi ve İdari Bilimler Dergisi, Cilt: 13 - Sayı: 2, 39–56. https://ajindex.com/articles/480825

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